Rana Hanocka
University of Chicago CS · Assistant Professor of Computer Science
Research focus: 3D machine learning · computer graphics · computer vision · geometric deep learning
手动审核申请准备：申请人应提交 3D 视觉/图形 cs ML：模型、点云、geometric deep learning、重建、纹理合成或创意 3D AI 系统。
Who this advisor fits / 什么情况下适合你
- Applicants should bring 3D vision/graphics ML: meshes, point clouds, geometric deep learning, reconstruction, texture synthesis, or creative 3D AI systems.
- 申请人应提交包含三维视觉与图形的 cs ML：多边形、点云、geometric deep learning、重建、纹理合成或创意三维 AI 系统。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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